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Reinforcement learning resources curated
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Leading to the dataviz you need
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Deep Recurrent Q-Learning vs Deep Q Learning on a simple Partially Observable Markov Decision Process with Minecraft
Implementations from the free course Deep Reinforcement Learning with Tensorflow
Modularized Implementation of Deep RL Algorithms in PyTorch
multi-agent deep reinforcement learning for networked system control.
Grokking Deep Reinforcement Learning
A toolkit for developing and comparing reinforcement learning algorithms.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Deep Reinforcement Learning for Keras.
Data, Benchmarks, and methods submitted to the M5 forecasting competition
Official codes for "Multi-Agent Deep Reinforcement Learning for Multi-Echelon Inventory Management: Reducing Costs and Alleviating Bullwhip Effect"
Environments for OR and RL Research
Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.
simulation platform for algorithmic pricing
Price Wars - A Simulation Platform for Dynamic Pricing Competition
Python Multi-Agent Reinforcement Learning framework
Python - 100天从新手到大师
PyTorch implementation of Soft Actor-Critic (SAC)
Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Python Implementation of Reinforcement Learning: An Introduction
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay
Environments and toolkit to evaluate RL algorithms for dynamic pricing
Reinforcement Learning in PyTorch
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.